A Novel Z-Fuzzy AHP&EDAS Methodology and Its Application to Wind Turbine Selection

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dc.contributor.authorTuysuz, Nurdan
dc.contributor.authorKahraman, Cengiz
dc.date.accessioned2024-09-11T19:52:38Z
dc.date.available2024-09-11T19:52:38Z
dc.date.issued2023
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractModelling the reliability information in decision making process is an important issue to inclusively reflect the thoughts of decision makers. The Evaluation Based on Distance from Average Solution (EDAS) and Analytic Hierarchy Process (AHP) are frequently used MCDM methods, yet their fuzzy extensions in the literature are incapable of representing the reliability of experts' fuzzy preferences, which may have important effects on the results. The first goal of this study is to extend the EDAS method by using Z -fuzzy numbers to reinforce its representation ability of fuzzy linguistic expressions. The second goal is to propose a decision making methodology for the solution of fuzzy MCDM problems by using Z -fuzzy AHP method for determining the criteria weights and Z -fuzzy EDAS method for the selection of the best alternative. The contribution of the study is to present an MCDM based decision support tool for the managers under vague and imprecise data, which also considers the reliability of these data. The applicability of the proposed model is presented with an application to wind energy investment problem aiming at the selection of the best wind turbine. Finally, the effectiveness and competitiveness of the proposed methodology is demonstrated by making a comparative analysis with the Z -fuzzy TOPSIS method. The results show that the proposed methodology can not only represent experts' evaluation information extensively, but also reveal a logical and consistent sequence related to wind turbine alternatives using reliability information.en_US
dc.identifier.doi10.15388/23-INFOR515
dc.identifier.endpage880en_US
dc.identifier.issn0868-4952
dc.identifier.issn1822-8844
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85171978207en_US
dc.identifier.startpage847en_US
dc.identifier.urihttps://doi.org/10.15388/23-INFOR515
dc.identifier.urihttps://hdl.handle.net/11363/7998
dc.identifier.volume34en_US
dc.identifier.wosWOS:001165441300005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherInst Mathematics & Informaticsen_US
dc.relation.ispartofInformaticaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240903_Gen_US
dc.subjectAHPen_US
dc.subjectEDASen_US
dc.subjectZ-fuzzyen_US
dc.subjectrestriction functionen_US
dc.subjectreliabilityen_US
dc.subjectrenewable energyen_US
dc.titleA Novel Z-Fuzzy AHP&EDAS Methodology and Its Application to Wind Turbine Selectionen_US
dc.typeArticleen_US

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